Vice President — Principal Applied AI Data Scientist

JPMorgan Chase & Co. • Jersey City, NJ

1d

About The Position

JPMorgan Chase’s Asset & Wealth Management Finance organization is advancing the
frontier of agentic AI, deploying digital workers that transform forecasting,
analytics, and decision support. As Vice President, you will lead the design,
deployment, and scaling of large language model (LLM) agents and AI-driven
solutions, driving innovation and business impact across finance workflows. You
will shape strategy, architect robust systems, and mentor teams to deliver
trusted, actionable insights for complex financial questions.

Requirements

• 8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands‑on experience with LLMs.
• Strong Python and SQL;
• Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).
• Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.
• Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.
• Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.

Nice To Haves

• Experience building multi‑agent systems, autonomous workflows, or task planners.
• Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.
• Exposure to observability tools (logging, tracing, telemetry) and A/B testing.
• Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.
• Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.
• Experience with PySpark or distributed compute.

Responsibilities

• Define and execute the roadmap for agentic AI and digital worker solutions in Finance, aligning with business priorities and emerging technologies.
• Identify and prioritize high-value use cases, translating ambiguous business challenges into measurable outcomes
• Lead cross-functional teams, collaborating with Finance, Product, Engineering, and Operations to deliver scalable, production-grade AI solutions.
• Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step reasoning
• Oversee the development of robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, BI/reporting tools, and cloud platforms (AWS, Azure, GCP)
• Leverage vector databases, embeddings, and distributed compute frameworks (e.g., Databricks, Snowflake, PySpark) for efficient retrieval and performance optimization.
• Drive research and development initiatives, exploring Gen AI, Agentic AI, and autonomous workflow patterns.
• Mentor and upskill teams; deliver enablement materials, documentation, and best practices for AI adoption.
• Foster a culture of innovation, experimentation, and continuous improvement.
• Translate model outputs into user-friendly insights and analytics for end users, enabling data-driven decision making.
• Communicate complex technical concepts to senior stakeholders; deliver compelling data visualizations and narratives.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed